Zobrazeno 1 - 10
of 766
pro vyhledávání: '"Łucka, A."'
Recent works demonstrate the effectiveness of diffusion models as unsupervised solvers for inverse imaging problems. Sparse-view computed tomography (CT) has greatly benefited from these advancements, achieving improved generalization without relianc
Externí odkaz:
http://arxiv.org/abs/2411.06308
Autor:
Kiss, Maximilian B., Biguri, Ander, Schönlieb, Carola-Bibiane, Batenburg, K. Joost, Lucka, Felix
Like in many other research fields, recent developments in computational imaging have focused on developing machine learning (ML) approaches to tackle its main challenges. To improve the performance of computational imaging algorithms, machine learni
Externí odkaz:
http://arxiv.org/abs/2408.08115
Autor:
Guévremont, Olivier, Barbeau, Lucka, Moreau, Vaiana, Galli, Federico, Virgilio, Nick, Blais, Bruno
Porous media are ubiquitous in the fields of energy storage and conversion, catalysis, biomechanics, hydrogeology, and other chemical engineering processes. These media possess high surface-to-volume ratios and their complex channels can restrict and
Externí odkaz:
http://arxiv.org/abs/2408.04711
We investigate models for nonlinear ultrasound propagation in soft biological tissue based on the one that serves as the core for the software package k-Wave. The systems are solved for the acoustic particle velocity, mass density, and acoustic press
Externí odkaz:
http://arxiv.org/abs/2405.20894
Ultrafast ultrasound imaging insonifies a medium with one or a combination of a few plane waves at different beam-steered angles instead of many focused waves. It can achieve much higher frame rates, but often at the cost of reduced image quality. De
Externí odkaz:
http://arxiv.org/abs/2404.14188
This paper presents a novel method for the reconstruction of high-resolution temporal images in dynamic tomographic imaging, particularly for discrete objects with smooth boundaries that vary over time. Addressing the challenge of limited measurement
Externí odkaz:
http://arxiv.org/abs/2311.05269
Autor:
Dantuma, M., Lucka, F., Kruitwagen, S. C., Javaherian, A., Alink, L., van Meerdervoort, R. P. Pompe, Nanninga, M., Root, T. J. P. M. Op 't, De Santi, B., Budisky, J., Bordovsky, G., Coffy, E., Wilm, M., Kasponas, T., Aarnink, S. H., de Geus-Oei, L. F., Brochin, F., Martinez, T., Michailovas, A., Kobold, W. Muller, Jaros, J., Veltman, J., Cox, B., Manohar, S.
Photoacoustic tomography is a contrast agent-free imaging technique capable of visualizing blood vessels and tumor-associated vascularization in breast tissue. While sophisticated breast imaging systems have been recently developed, there is yet much
Externí odkaz:
http://arxiv.org/abs/2308.06754
Publikováno v:
IEEE Transactions on Computational Imaging, vol. 10, pp. 953 - 968, 2024
In X-ray Computed Tomography (CT), projections from many angles are acquired and used for 3D reconstruction. To make CT suitable for in-line quality control, reducing the number of angles while maintaining reconstruction quality is necessary. Sparse-
Externí odkaz:
http://arxiv.org/abs/2307.06343
Autor:
Kiss, Maximilian B., Coban, Sophia B., Batenburg, K. Joost, van Leeuwen, Tristan, Lucka, Felix
Publikováno v:
Scientific Data 10, 576 (2023)
Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images. However, suitable e
Externí odkaz:
http://arxiv.org/abs/2306.05907
Autor:
Ewa Szczepocka, Łukasz Mokros, Jakub Kaźmierski, Karina Nowakowska, Anna Łucka, Anna Antoszczyk, Javier Oltra-Cucarella, Walter Werzowa, Martin Hellevik, Stavros Skouras, Karsten Bagger
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background/Aims Older age and cognitive inactivity have been associated with cognitive impairment, which in turn is linked to economic and societal burdens due to the high costs of care, especially for care homes and informal care. Emerging
Externí odkaz:
https://doaj.org/article/fa66bac404244f00a2a0e3cfcb402616
